Senior AI Analytics Engineer

Hong KongFull-timesenior

Data EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

Design, build, and maintain production-grade data models to bridge raw data streams with downstream applications and BI tools. Using LLMs and AI tools to generate data documentation,

Technical Tools

Data EngineerData

About the Role

~1 min read

As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. You will play a pivotal role in operationalizing AI/LLM models, building scalable data transformation pipelines, standardizing data models, and establishing best practices.

In addition to core analytics engineering, you will occasionally act as a technical Business Analyst on select data initiatives—partnering with business teams to translate ambiguous operational needs into clear technical specs and data requirements.

Requirements

~1 min read

Advanced SQL capabilities.

Hands-on expertise with modern data transformation and orchestration frameworks (dbt, Airflow, Prefect, Dagster).

Deep experience with cloud data warehouses (Snowflake, Databricks, BigQuery).

• AI Technical Stack:

Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics.

Experience with deploying AI agentic workflows in production environments.

• Business Analysis Skills: Demonstrated ability to occasionally gather business requirements, define key metrics, and translate stakeholder needs into structured data assets.

• Software Engineering Principles: Strong experience with version control (Git), CI/CD practices for data pipelines, and production code testing.